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论文作者:英语论文网论文属性:硕士毕业论文 thesis登出时间:2011-09-01编辑:zn1987点击率:4308
论文字数:16232论文编号:org201109011205332970语种:英语 English地区:美国价格:$ 66
关键词:美国科技论文Artificial IntelligenceTechnologyComputer software
摘要:英语论文网专业提供美国留学生科技论文定制,美国留学生计算机科学论文定制等论文服务。人工智能(AI)是科学的一个分支,试图开发智能软件程序或机器,可以作出推论,解决问题,或在某些问题领域的人类专家一样反应。
2.0 Knowledge-Based Expert Systems
Knowledge-based expert systems are a by-product of Artificial Intelligence (AI) research since the late 1950s. AI has been a very controversial subjects hence the existence of various definitions.
Definitions of AI
Barr and Feigenbaum (1981) - "that part of computer science concerned with designing intelligent computer systems i.e. systems that exhibit the characteristics which we associate with intelligence in human behavior...”
Minsk (1968) - "the science of making machines do things that would require intelligence if done by man".
Carina and McDermott (1985) - "the study of mental faculties through the use of computational models".
References
Alamode, A and Plaza, E (1994). “Case-Based Reasoning: Foundational Issues, Methodical Variations, and System Approaches” AI Communications, v7:1, p39-59
Ahmad, I and Mink rah, I (1990). “Decision Analysis and Expert System Technology: A Construction Industry Perspective” Proc. Int. Sump. On Building Economics and Management
Allen, B. P. (1994). “Case-based reasoning: business applications”, Knowledge Engineering Systems, 37(3), 40-42.
Alderman, R (1986). “An Adaptive Planner” Proc. AAAI-86
Anambah, C. J., UGu, O. O., Newnan, L. and Thorpe, A. (2002). “Collaborative design of structures using intelligent agents”, Automation in Construction, 11(1), 89-103.
Ashley, KD (1988). “Arguing by Analogy in Law: A Case-Based Model” in Analogical Reasoning: Perspectives of Artificial Intelligence, Cognitive Science and Philosophy, Ed. DH Hellman, Redial
Bain, WM (1986). “Case-Based Reasoning: A Computer Model for Subjective Assessment” PhD Thesis, Yale University
Barr and Feigenbaum (1981). “The Handbook of Artificial Intelligence”, Vol. 1, Morgan Kaufmann, Los Altos, CA.
Bares, ER, Porter, BW and Weir, CC (1987). “Protons: An Exemplar-Based Learning Apprentice” Proc. Fourth International Workshop on Machine Learning, p12-23